Publication: Received signal modeling and BER analysis for molecular SISO communications
dc.contributor.coauthor | Das, A. | |
dc.contributor.coauthor | Runwal, B. | |
dc.contributor.coauthor | Baydaş, O.T. | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.kuauthor | Akan, Özgür Barış | |
dc.contributor.kuauthor | Çetinkaya, Oktay | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.date.accessioned | 2024-11-09T13:19:21Z | |
dc.date.issued | 2022 | |
dc.description.abstract | A well-modeled molecular communication (MC) channel is crucial for the development of required equipment. Previous models, however, have often considered ideal receivers with perfect absorption, which resulted in impractical results. Here, we propose an improved model consisting of a partially absorbing receiver with four unique parameters, whose values are determined using Particle Swarm Optimization (PSO). We evaluate the Root Mean Square Error (RMSE) performance of our model in the estimated received molecules, which shows consistent results for different transmitter-to-receiver distances or receiver radii, besides a five times improvement in the cumulative number of received molecules compared to that of previous models. We also consider two new Concentration Shift Keying (CSK) modulation schemes, in addition to typical ones, and analyze the trend of Bit Error Rate (BER) and detection threshold for these schemes at different channel lengths. Finally, we investigate the feasibility of Hamming code correction on these schemes and show that the third-order Hamming-corrected BCSK (Binary CSK) modulation is the best for the proposed SISO model. | |
dc.description.fulltext | YES | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | This work was supported by the AXA Research Fund (AXA Chair for Internet of Everything at Koç University). | |
dc.description.version | Publisher version | |
dc.identifier.doi | 10.1145/3558583.3558854 | |
dc.identifier.embargo | NO | |
dc.identifier.filenameinventoryno | IR04050 | |
dc.identifier.isbn | 9781450398671 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85139821688 | |
dc.identifier.uri | https://doi.org/10.1145/3558583.3558854 | |
dc.keywords | Concentration shift keying | |
dc.keywords | Hamming code correction | |
dc.keywords | Molecular communication | |
dc.keywords | Partially absorbing receiver | |
dc.keywords | Particle swarm optimization | |
dc.language.iso | eng | |
dc.publisher | Association for Computing Machinery (ACM) | |
dc.relation.grantno | NA | |
dc.relation.ispartof | NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication | |
dc.relation.uri | http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10924 | |
dc.subject | Engineering | |
dc.title | Received signal modeling and BER analysis for molecular SISO communications | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Akan, Özgür Barış | |
local.contributor.kuauthor | Çetinkaya, Oktay | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
relation.isOrgUnitOfPublication | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
relation.isParentOrgUnitOfPublication | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 | |
relation.isParentOrgUnitOfPublication.latestForDiscovery | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 |
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